| Optimized constellations for two-way wireless relaying with physical network coding T Koike-Akino, P Popovski, V Tarokh IEEE journal on Selected Areas in Communications 27 (5), 773-787, 2009 | 571 | 2009 |
| Deep neural network inverse design of integrated photonic power splitters MH Tahersima, K Kojima, T Koike-Akino, D Jha, B Wang, C Lin, ... Scientific reports 9 (1), 1368, 2019 | 402 | 2019 |
| Luvli face alignment: Estimating landmarks' location, uncertainty, and visibility likelihood A Kumar, TK Marks, W Mou, Y Wang, M Jones, A Cherian, T Koike-Akino, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 185 | 2020 |
| High-dimensional modulation for coherent optical communications systems DS Millar, T Koike-Akino, SÖ Arık, K Kojima, K Parsons, T Yoshida, ... Optics express 22 (7), 8798-8812, 2014 | 141 | 2014 |
| Multiset-partition distribution matching T Fehenberger, DS Millar, T Koike-Akino, K Kojima, K Parsons IEEE Transactions on Communications 67 (3), 1885-1893, 2018 | 124 | 2018 |
| Design of a 1 Tb/s superchannel coherent receiver DS Millar, R Maher, D Lavery, T Koike-Akino, M Pajovic, A Alvarado, ... Journal of Lightwave Technology 34 (6), 1453-1463, 2016 | 121 | 2016 |
| Denoising maps and constellations for wireless network coding in two-way relaying systems T Koike-Akino, P Popovski, V Tarokh IEEE GLOBECOM 2008-2008 IEEE Global Telecommunications Conference, 1-5, 2008 | 111 | 2008 |
| Adversarial deep learning in EEG biometrics O Özdenizci, Y Wang, T Koike-Akino, D Erdoğmuş IEEE signal processing letters 26 (5), 710-714, 2019 | 107 | 2019 |
| Fingerprinting-based indoor localization with commercial MMWave WiFi: A deep learning approach T Koike-Akino, P Wang, M Pajovic, H Sun, PV Orlik IEEE Access 8, 84879-84892, 2020 | 105 | 2020 |
| Learning invariant representations from EEG via adversarial inference O Özdenizci, Y Wang, T Koike-Akino, D Erdoğmuş IEEE access 8, 27074-27085, 2020 | 105 | 2020 |
| Translating sEMG signals to continuous hand poses using recurrent neural networks F Quivira, T Koike-Akino, Y Wang, D Erdogmus 2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018 | 89 | 2018 |
| EEG-GNN: Graph neural networks for classification of electroencephalogram (EEG) signals A Demir, T Koike-Akino, Y Wang, M Haruna, D Erdogmus 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 85 | 2021 |
| Nonlinearity-tolerant four-dimensional 2A8PSK family for 5–7 bits/symbol spectral efficiency K Kojima, T Yoshida, T Koike-Akino, DS Millar, K Parsons, M Pajovic, ... Journal of Lightwave Technology 35 (8), 1383-1391, 2017 | 78 | 2017 |
| Transfer learning in brain-computer interfaces with adversarial variational autoencoders O Özdenizci, Y Wang, T Koike-Akino, D Erdoğmuş 2019 9th international IEEE/EMBS conference on neural engineering (NER), 207-210, 2019 | 76 | 2019 |
| Spatial scattering modulation for uplink millimeter-wave systems Y Ding, KJ Kim, T Koike-Akino, M Pajovic, P Wang, P Orlik IEEE Communications Letters 21 (7), 1493-1496, 2017 | 72 | 2017 |
| High-accuracy user identification using EEG biometrics T Koike-Akino, R Mahajan, TK Marks, Y Wang, S Watanabe, O Tuzel, ... 2016 38th annual international conference of the IEEE engineering in …, 2016 | 72 | 2016 |
| Denoising strategy for convolutionally-coded bidirectional relaying T Koike-Akino, P Popovski, V Tarokh 2009 IEEE International Conference on Communications, 1-5, 2009 | 66 | 2009 |
| Hybrid ARQ scheme suitable for coded MIMO transmission T Koike, H Murata, S Yoshida 2004 IEEE International Conference on Communications (IEEE Cat. No …, 2004 | 65 | 2004 |
| Generative deep learning model for inverse design of integrated nanophotonic devices Y Tang, K Kojima, T Koike‐Akino, Y Wang, P Wu, Y Xie, MH Tahersima, ... Laser & Photonics Reviews 14 (12), 2000287, 2020 | 64 | 2020 |
| Analysis of nonlinear fiber interactions for finite-length constant-composition sequences T Fehenberger, DS Millar, T Koike-Akino, K Kojima, K Parsons, H Griesser Journal of Lightwave Technology 38 (2), 457-465, 2020 | 62 | 2020 |
Kieran ParsonsMitsubishi Electric Research LaboratoriesEmail verificata su merl.com
